ADAS Interior Perception Systems Engineer

Ford Motor Company

ADAS Interior Perception Systems Engineer delivering performance evaluation for interior perception systems at Ford. Collaborating with diverse teams to improve user experiences in smart vehicles.

Posted 6/17/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Define quantitative performance targets by translating feature-level requirements into verifiable perception subsystem KPIs (e.g., detection and false-positive rates, time-to-detect)
Characterize system performance across the full range of customer and environmental noise factors (occupant anthropometry, appearance variation, eyewear, lighting, sun load) and develop methodologies to drive consistent feature availability across our customer population
Design statistically efficient validation strategies (design of experiments, stratified sampling, sequential testing, resampling-based confidence estimation)
Build application-agnostic performance and validation frameworks that decouple core perception KPIs from vehicle-specific factors
Define real-world usage profiles and exposure models to project bench and track performance into expected field performance for a representative customer population
Collaborate with feature systems engineers to define design objectives, functional requirements, and architectural decisions for driver engagement systems
Partner directly with vendor technical leads and our hardware team to refine sensor and illuminator packaging requirements and propose system architecture modifications
Represent the interior perception subsystem in cross-functional design reviews and support root cause analysis and statistical characterization of any field issues.

Requirements

What you’ll need

Bachelor’s Degree in Electrical Engineering, Computer Science, Mathematics/Statistics, or related field
3+ years of experience decomposing high-level feature requirements into quantitative subsystem KPIs in automotive, aerospace, defense, medical devices, or a similarly safety-relevant domain
Demonstrated fluency in applied statistics – hypothesis testing, confidence and tolerance intervals, sample size justification, and reasoning about rare-event rates
Experience defining or executing validation strategies under finite test budgets
Strong communication skills – particularly the ability to explain and defend a statistical recommendation to non-statistical stakeholders and drive consensus across cross-functional teams
Master’s Degree in Electrical Engineering, Computer Science, Mathematics/Statistics, or related field (even better)
5+ years of systems engineering experience in a safety-relevant domain (even better)
Experience with ADAS perception systems and performance evaluation (ROC/DET analysis, operating point selection, confusion matrix decomposition by subgroup) (even better)
Experience with driver/occupant monitoring or camera-based biometric systems (even better)
Proficiency in Python (or comparable language) for statistical analysis of large datasets (even better)
Familiarity with naturalistic driving studies, exposure modeling, or reliability and field-return analysis (even better)
Understanding of functional safety (ISO 26262) and SOTIF standards and processes (even better)
Experience with systems modeling and/or requirements management tools (SysML/MagicDraw, Polarion, JAMA, DOORS, etc.) and failure mode analysis techniques (even better)
Familiarity with requirement formats including INCOSE and EARS (even better).

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.

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Hard Skills & Tools

applied statisticshypothesis testingconfidence intervalssample size justificationrare-event ratesvalidation strategiesADAS perception systemsperformance evaluationPythonrequirements management

Soft Skills

strong communication skillsexplain statistical recommendationsdrive consensuscollaborationcross-functional teamwork

Certifications

Bachelor’s Degree in Electrical EngineeringBachelor’s Degree in Computer ScienceBachelor’s Degree in Mathematics/StatisticsMaster’s Degree in Electrical EngineeringMaster’s Degree in Computer ScienceMaster’s Degree in Mathematics/Statistics